GIS‐Based Aquaculture Spatial Suitability in Western Amazonian Hydroelectric Reservoirs

ABSTRACT This study applies a GIS‐based approach to evaluate the spatial suitability of net‐cage aquaculture and analyse key water quality parameters in four hydroelectric reservoirs located in the Jamari River basin, Western Brazilian Amazon. The assessment includes one large hydropower reservoir (HPP Samuel) and three small hydropower reservoirs (SHDs): SC Monte Negro, Jamari and Canaã. The methodology followed five stages: (1) temporal analysis of Total Water Surface Area (TWSA); (2) identification of vegetation‐free areas; (3) evaluation of depth suitability; (4) compilation of historical water level data and limnological parameters (chlorophyll‐ a , BOD, total phosphorus, dissolved oxygen); and (5) mapping and estimation of Potential Aquaculture Sites (PAS). Due to excessive seasonal variation (> 70% fluctuation in TWSA), the Samuel HPP reservoir was excluded from the final suitability mapping. In contrast, the SHD reservoirs exhibited environmental stability and fulfilled legal requirements for net‐cage installation. Together, they offer an estimated production potential of up to 466 t per year using native species such as Colossoma macropomum . Most water quality parameters complied with Brazilian environmental standards (CONAMA Resolution no. 357/2005). This spatial and limnological assessment provides a technical foundation for implementing sustainable aquaculture systems in Amazonian hydroelectric reservoirs. Further studies should incorporate ecological carrying capacity modelling and environmental impact projections to support long‐term sustainable aquaculture practices in these freshwater ecosystems.

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Publication Details

Journal
Lakes & Reservoirs Science Policy and Management for Sustainable Use
Published
2025-01-01
DOI
https://doi.org/10.1111/lre.70016
Citations
1
Primary Topic
Fish biology, ecology, and behavior
Type
article
Field-Weighted Citation Impact
2.31

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article

GIS‐Based Aquaculture Spatial Suitability in Western Amazonian Hydroelectric Reservoirs

Julia Cucco Dalri, Alex Pires de Oliveira Nuñer, Flávia Tavares Mattos, Flávio Boscatto et al.
1 citations
Lakes & Reservoirs Science Policy and Management for Sustainable Use
Fish biology, ecology, and behavior
2.31
article

GIS‐Based Aquaculture Spatial Suitability in Western Amazonian Hydroelectric Reservoirs

Julia Cucco Dalri, Alex Pires de Oliveira Nuñer, Flávia Tavares Mattos, Flávio Boscatto, Carlos Eduardo Mounic‐Silva, Raica Esteves Xavier Meante, Celso Carlos Buglione‐Neto, Marco Antônio Polli, Emanuela Rodrigues Meneghetti
article en
1 citations

Abstract

ABSTRACT This study applies a GIS‐based approach to evaluate the spatial suitability of net‐cage aquaculture and analyse key water quality parameters in four hydroelectric reservoirs located in the Jamari River basin, Western Brazilian Amazon. The assessment includes one large hydropower reservoir (HPP Samuel) and three small hydropower reservoirs (SHDs): SC Monte Negro, Jamari and Canaã. The methodology followed five stages: (1) temporal analysis of Total Water Surface Area (TWSA); (2) identification of vegetation‐free areas; (3) evaluation of depth suitability; (4) compilation of historical water level data and limnological parameters (chlorophyll‐ a , BOD, total phosphorus, dissolved oxygen); and (5) mapping and estimation of Potential Aquaculture Sites (PAS). Due to excessive seasonal variation (> 70% fluctuation in TWSA), the Samuel HPP reservoir was excluded from the final suitability mapping. In contrast, the SHD reservoirs exhibited environmental stability and fulfilled legal requirements for net‐cage installation. Together, they offer an estimated production potential of up to 466 t per year using native species such as Colossoma macropomum . Most water quality parameters complied with Brazilian environmental standards (CONAMA Resolution no. 357/2005). This spatial and limnological assessment provides a technical foundation for implementing sustainable aquaculture systems in Amazonian hydroelectric reservoirs. Further studies should incorporate ecological carrying capacity modelling and environmental impact projections to support long‐term sustainable aquaculture practices in these freshwater ecosystems.

Lakes & Reservoirs Science Policy and Management for Sustainable UseVol. 30(1)
Universidade do Estado de Santa Catarina (BR), Brazilian Agricultural Research Corporation (BR), Universidade Federal de Santa Catarina (BR), Instituto Federal de Educação, Ciência e Tecnologia de Rondônia (BR), Itaipu Binacional (BR), Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 13%
Fish biology, ecology, and behavior
2.31
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